Every workflow you have built assumes the OAuth connection is active. But connections expire. A client revokes access. The AUTH_REQUIRED error surfaces in the response — or raised as an exception — and your entire workflow crashes halfway through. What is the fix?
try/except. Wrap the send call. Catch the error. Return a status dict instead of crashing.
Exactly the pattern from the Python track's safe_compute_total. Wrap the risky call, catch the error, return a meaningful response. For automation, the response is a status dict — {"status": "skipped", "reason": str(e)} — so the workflow can continue for other clients even when one connection fails:
def safe_send(to: str, subject: str, body: str) -> dict:
try:
return send_email(to, subject, body)
except Exception as e:
if "AUTH_REQUIRED" in str(e):
print(f"Auth required for Gmail — skipping")
return {"status": "skipped", "reason": str(e)}
raise # re-raise unexpected errors
Why raise at the end? Shouldn't we catch all exceptions?
Catching all exceptions hides bugs. If send_email raises a TypeError because you passed None as the subject, you want to see that error — it means your code is wrong. Only catch exceptions you expect and know how to handle. AUTH_REQUIRED is expected (expired token); TypeError is a code bug. Re-raise what you don't recognize.
So the capstone workflow continues sending emails to other clients even when one OAuth token has expired. One failure doesn't stop the whole run.
That is production-grade resilience. The 45-minute ritual that used to crash on the third client now completes all six:
def safe_send(to: str, subject: str, body: str) -> dict:
try:
result = send_email(to, subject, body)
print(f"Sent to {to}")
return result
except Exception as e:
print(f"Skipped {to}: {e}")
return {"status": "skipped", "reason": str(e)}
My workflow is now resilient. A bad token on one client doesn't block the other five.
And log every skip. The reason field is your audit trail — you know which clients need re-auth before the next month-end run.
try/except for Connection ErrorsAUTH_REQUIRED is the error surface for expired or missing OAuth tokens in Composio-backed actions. Wrapping send_email in a try/except lets the workflow continue even if one connection is broken:
try:
return send_email(to, subject, body)
except Exception as e:
if 'AUTH_REQUIRED' in str(e):
return {'status': 'skipped', 'reason': str(e)}
raiseReturning {'status': 'skipped', 'reason': ...} instead of raising means the capstone workflow can proceed to the next client even if one email fails. Log the skipped sends and retry manually.
Re-raise unexpected errors: only catch AUTH_REQUIRED; let other exceptions propagate. Silent swallowing of unexpected errors makes debugging much harder.
Every workflow you have built assumes the OAuth connection is active. But connections expire. A client revokes access. The AUTH_REQUIRED error surfaces in the response — or raised as an exception — and your entire workflow crashes halfway through. What is the fix?
try/except. Wrap the send call. Catch the error. Return a status dict instead of crashing.
Exactly the pattern from the Python track's safe_compute_total. Wrap the risky call, catch the error, return a meaningful response. For automation, the response is a status dict — {"status": "skipped", "reason": str(e)} — so the workflow can continue for other clients even when one connection fails:
def safe_send(to: str, subject: str, body: str) -> dict:
try:
return send_email(to, subject, body)
except Exception as e:
if "AUTH_REQUIRED" in str(e):
print(f"Auth required for Gmail — skipping")
return {"status": "skipped", "reason": str(e)}
raise # re-raise unexpected errorsWhy raise at the end? Shouldn't we catch all exceptions?
Catching all exceptions hides bugs. If send_email raises a TypeError because you passed None as the subject, you want to see that error — it means your code is wrong. Only catch exceptions you expect and know how to handle. AUTH_REQUIRED is expected (expired token); TypeError is a code bug. Re-raise what you don't recognize.
So the capstone workflow continues sending emails to other clients even when one OAuth token has expired. One failure doesn't stop the whole run.
That is production-grade resilience. The 45-minute ritual that used to crash on the third client now completes all six:
def safe_send(to: str, subject: str, body: str) -> dict:
try:
result = send_email(to, subject, body)
print(f"Sent to {to}")
return result
except Exception as e:
print(f"Skipped {to}: {e}")
return {"status": "skipped", "reason": str(e)}My workflow is now resilient. A bad token on one client doesn't block the other five.
And log every skip. The reason field is your audit trail — you know which clients need re-auth before the next month-end run.
try/except for Connection ErrorsAUTH_REQUIRED is the error surface for expired or missing OAuth tokens in Composio-backed actions. Wrapping send_email in a try/except lets the workflow continue even if one connection is broken:
try:
return send_email(to, subject, body)
except Exception as e:
if 'AUTH_REQUIRED' in str(e):
return {'status': 'skipped', 'reason': str(e)}
raiseReturning {'status': 'skipped', 'reason': ...} instead of raising means the capstone workflow can proceed to the next client even if one email fails. Log the skipped sends and retry manually.
Re-raise unexpected errors: only catch AUTH_REQUIRED; let other exceptions propagate. Silent swallowing of unexpected errors makes debugging much harder.
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